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Assisting the RDF Annotation of a Digital Humanities Corpus Using Case-Based Reasoning

机译:使用基于案例的推理,协助RDF注释数字人文毒物证券

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The Henri Poincare correspondence is a corpus composed of around 2100 letters which is a rich source of information for historians of science. Semantic Web technologies provide a way to structure and publish data related to this kind of corpus. However, Semantic Web data editing is a process which often requires human intervention and may seem tedious for the user. This article introduces RDFWebEditor4Humanities, an editor which aims at facilitating annotation of documents. This tool uses case-based reasoning (CBR) to provide suggestions for the user which are related to the current document annotation process. These suggestions are found and ranked by considering the annotation context related to the resource currently being edited and by looking for similar resources already annotated in the database. Several methods and combinations of methods are presented here, as well as the evaluation associated with each of them.
机译:Henri Poincare函授是一个由大约2100个字母组成的语料库,这是一个丰富的科学学家信息来源。语义Web技术提供了一种实现和发布与此类语料库相关的数据的方法。然而,语义Web数据编辑是一个通常需要人为干预的过程,并且对于用户来说似乎令人疑惑。本文介绍了RDFWebEditor4 Humanities,该编辑旨在促进文件注释。此工具使用基于案例的推理(CBR)来为与当前文档注释过程相关的用户提供建议。通过考虑与当前正在编辑的资源相关的注释上下文并通过查找已在数据库中注释的类似资源来找到这些建议。这里介绍了几种方法和方法的组合,以及与它们中的每一个相关的评估。

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